Random projections on manifolds of Symmetric Positive Definite matrices for image classification.
Azadeh AlaviArnold WiliemKun ZhaoBrian C. LovellConrad SandersonPublished in: WACV (2014)
Keyphrases
- random projections
- image classification
- sparse representation
- dictionary learning
- manifold learning
- riemannian manifolds
- low dimensional
- sparse coding
- dimensionality reduction
- feature extraction
- image representation
- euclidean space
- bag of words
- image features
- dimension reduction
- high dimensional
- image reconstruction
- log euclidean
- high dimensional data
- vector space
- principal component analysis
- visual words
- original data
- random sampling
- matrix valued
- data sets
- face recognition
- document clustering
- hash functions
- linear discriminant analysis
- generative model
- maximum likelihood
- similarity measure